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Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation

Video prediction is a challenging task. The quality of video frames from current state-of-the-art (SOTA) generative models tends to be poor and generalization beyond the training data is difficult.

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Cite this as

Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal (2024). Dataset: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. https://doi.org/10.57702/g64324dz

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2205.09853
Author	Vikram Voleti
More Authors	Alexia Jolicoeur-Martineau Christopher Pal
Homepage	https://mask-cond-video-diffusion.github.io